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Case Study · Custom Commerce & AI · Active partnership
Billy Fender Custom Guitars
Forty years of craft, AI-powered commerce.
A ground-up rebuild for a Florida-based custom guitar maker. Migrated from WordPress onto Laravel + Vue + PostgreSQL on dedicated infrastructure — faster, leaner, fully custom — with an integrated AI sales assistant, a structured buyback pipeline, and AI-assisted staff workflows end to end.
At a glance
Project snapshot
WP→Laravel
Full migration off WordPress / WooCommerce
2
AI workflows: customer-facing sales + staff buyback ops
PostgreSQL
Dedicated database purpose-built for custom-build commerce
24/7
Managed infrastructure + ongoing partnership
The challenge
WordPress was the bottleneck
Billy's been building custom guitars for four decades. The catalog is niche, the builds are bespoke, and the customers know exactly what they want — or they need to talk to someone who does. The old WordPress site was fine when it was a portfolio. But with a growing collection store, an active buyback pipeline, and a catalog that needed real product semantics, it was breaking at every seam: slow pages, brittle plugins, clunky inventory, and a WooCommerce checkout that made high-ticket buyers nervous.
The ask wasn't "make WordPress faster." It was: rebuild this from scratch on a stack that fits the business, and design around the two things that actually move revenue — the sales conversation and the buyback pipeline. The constraint: this is a four-decade brand with a deep collector audience and a meaningful share of organic search traffic. Migration couldn't lose what was already ranking. Every URL had to be mapped, every product page redirected, every piece of earned authority preserved.
There was a second constraint, less obvious. Custom guitar customers ask very specific questions — wood grain, pickup configuration, neck profile, fret type, scale length, pickup wiring options — and they ask them constantly. Before this rebuild, every one of those questions either consumed Billy's time or got a generic answer that lost the sale. The site needed to handle the ones it could and route the ones it couldn't to a human at the right moment.
What we built
Laravel + Vue, AI baked in
Custom Laravel backend
Built on Laravel 11 with a dedicated PostgreSQL database purpose-built for custom-build commerce. No WooCommerce bloat, no plugin conflicts, no theme update breaking checkout. Every data model maps to something real in the business: a guitar, a build spec, a wood blank, a pickup, a customer, a buyback offer.
Vue storefront for collection pieces
A custom Vue 3 + Tailwind frontend for the available-collection catalog — fast, filterable, photography-forward. Product detail pages treat each guitar as a build story, not a SKU: full spec sheet, build photography, sound clips where they exist, and the wood / pickup / hardware lineage that matters to a serious buyer.
AI sales assistant, customer-facing
An AI assistant trained on Billy's catalog, build philosophy, and spec language. Answers product questions in real time — wood characteristics, pickup options, neck profiles, expected build timeline — guides buyers to the right instrument, and hands off to a human when the conversation warrants it. Trained from Billy's actual answers, not generic guitar lore.
Custom build inquiry flow
A structured form that walks a potential buyer through the build decisions — wood choices, pickup configuration, finish, neck profile, hardware, expected use case — so what lands in Billy's inbox is ready to quote, not a three-line email asking "can you build me something." Inquiries are routed, prioritized, and ready to act on.
AI-powered buyback pipeline
A structured guitar-buyback intake with AI-assisted valuation prompts, condition capture, and offer routing. Sellers upload photos and answer guided questions; the AI helps Billy's team triage and value submissions. Staff workflows for listing management, offer processing, and follow-up are AI-assisted end to end.
Performance + SEO, tuned tight
Core Web Vitals optimized throughout — images properly sized and lazy-loaded, code-split JS, caching strategy tuned. Full on-page SEO, Product and Article schema where it fits, canonical hygiene, structured data for collection pieces. Migration preserved the WordPress site's earned rankings via a careful URL redirect map.
Under the hood
Tech stack & integrations
| Layer | Stack | Why |
|---|---|---|
| Backend | Laravel 11, PHP 8.3, dedicated PostgreSQL | Real product semantics, clean queries, no WooCommerce schema baggage |
| Frontend (storefront) | Vue 3 SPA + Tailwind, Vite build, code-split | Fast, filterable catalog with photography-forward product pages |
| Frontend (admin) | Inertia + Vue for staff workflows | Same component library, same auth, no separate admin SPA to maintain |
| Queues / cache | Redis for queues + Reverb-style realtime where needed | Background processing for buyback intake, AI calls, image processing |
| AI layer (sales) | Customer-facing assistant trained on Billy's catalog + spec language | Reduces high-volume product Q&A load while preserving the brand voice |
| AI layer (ops) | Staff workflows for buyback valuation, listing management, follow-up | Triage and offer pipeline that scales without adding headcount |
| Migration | Full URL inventory + redirect map from WordPress legacy | Earned organic traffic preserved through cutover instead of lost |
| Hosting | Dedicated VPS managed by us, Cloudflare DNS / WAF / CDN, Plesk Git auto-deploy | Real performance, real security, no oversold shared hosting |
How it ran
Project timeline
1
Weeks 12: discovery + data audit
Deep discovery on the business — sales process, buyback pipeline, the kinds of questions that actually move a sale, and the workflows that consume time. Parallel data audit on the WordPress site: every URL, every product, every page that earned organic traffic. Migration plan locked in week two.
2
Weeks 35: schema, models, and AI training set
Database schema design for the custom-build commerce model. Product, build-spec, wood, pickup, hardware, build, and buyback models — each a real domain entity, not a custom-fields kludge on a generic post. In parallel, we assembled the training corpus for the AI sales assistant from Billy's actual past answers, his existing copy, and a structured spec library.
3
Weeks 69: build, integrations, and AI plumbing
Laravel backend build with full admin workflows. Vue storefront with collection catalog, filtering, and photography-forward product detail pages. AI sales assistant integration with the catalog data, response routing, and human-handoff thresholds. Buyback intake flow with AI-assisted valuation prompts and offer routing. Continuous QA from Billy and the team in real working sessions.
4
Weeks 1011: migration, SEO, and pre-launch
WordPress URL inventory cross-referenced against the new site's URL structure. Redirect map for everything that mattered, with extra care around the high-trafficked product pages. Schema markup added end to end. Performance pass for Core Web Vitals. Soft launch to a staging URL where Billy and serious collector friends could click through and surface gaps.
5
Week 12cutover & post-launch monitoring
DNS cutover during a low-traffic window. Live verification, sitemap resubmission, GBP and social-profile alignment. Active Search Console monitoring through the first 30 days for crawl errors, redirect issues, and ranking shifts. We caught a couple of small redirect gaps in week one and fixed them before they compounded.
6
Ongoingcare, content, AI iteration
Active partnership. We operate the infrastructure, handle care, push content and SEO updates, and iterate on the AI layer as the catalog evolves. New collection pieces get added with the same template; the AI's training corpus grows alongside. Billy builds guitars; we run the platform.
The outcome
The site now runs the business
The storefront loads fast, the catalog is filterable and discoverable, and the AI assistant shoulders the high-volume product questions that used to consume hours every week. The buyback pipeline went from email threads and spreadsheets to a structured system that Billy and his team can actually stay on top of.
A few specific changes showed up in the first 90 days post-launch:
- Page load went from acceptable to fast. Mobile Core Web Vitals shifted from "needs improvement" on the WordPress site to "good" across LCP, CLS, and INP on the new stack — the kind of move that Google rewards quietly and consistently in rankings.
- Product Q&A load on Billy dropped meaningfully. The AI sales assistant fielded the bulk of "what wood is on this neck" / "is this still available" / "how long is the wait list" traffic, escalating to a human only when the conversation actually warranted one.
- Buyback pipeline became actionable. Submissions flow into a structured queue with AI-assisted valuation prompts. The team can triage, value, and respond without losing offers in an inbox.
- Earned organic search held through migration. The redirect map preserved rankings on the high-value product and content pages — no traffic dip post-launch, which is rare for a full-stack rebuild on a new URL structure.
Under partnership, we operate the infrastructure, handle care, push content and SEO updates, and iterate on the AI layer as the catalog evolves. Billy builds guitars. We run the platform.
Client voice
In their words
This guy deserves nothing but five star reviews! Very talented and knows what he is doing!